While Python has good libraries in general computing, and it has good ML libraries, it's really lacking in scientific computing (numerical linear algebra, differential equations, etc.). For example, what's a Newton-Krylov IMEX integrator in Python? Boundary value DAEs? I know of libraries for these things in Fortran, C++, and Julia... but not Python. It's also well-known that Python lacks a lot of the statistics libraries of R. When you chart it out, Python tends to just have the bare minimum of support in every area (except ML, it has good ML libraries), which if it's what you need, great! But...